{"title":"Problematic gambling among the LGBTQIA2S + population in Canada: A quantitative study.","authors":"Magaly Brodeur, Natalia Muñoz Gómez, Nathalie Carrier, Pasquale Roberge, Julie-Christine Cotton, Eva Monson, Adèle Morvannou, Marie-Ève Poitras, Anaïs Lacasse, Didier Jutras-Aswad, Yves Couturier, Christine Loignon, Olivier Simon, Catherine Hudon","doi":"10.1016/j.addbeh.2025.108257","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>LGBTQIA2S + populations are believed to be at higher risk of problem gambling due to their elevated rates of mental disorders and substance abuse compared to heterosexual and cisgender populations. However, little is known about these populations regarding their gambling practices in the Canadian context.</p><p><strong>Methods: </strong>We conducted an online survey among Canadian residents 18 years or older who self-identify as sexually and gender-diverse (i.e., LGBTQIA2S + ) and have gambled at least once in the preceding year (N = 1,519). We used descriptive analysis to portray the sample's gambling habits and a logistic regression model to identify potential factors associated with moderate-to-high-risk gambling.</p><p><strong>Results: </strong>The prevalence of problematic gambling among our sample was 19.6%. This proportion did not vary according to sex or gender identity. Simultaneously, there was a negative relationship between age group and problematic gambling, and a positive relationship existed with gambling involvement. Logistic regression showed factors associated with higher odds of problematic gambling, including gambling frequency, gambling on slot machines, video lottery machines or poker, presenting other behavioral addictions, and poor mental health. Increasing age, identifying with White ethnicity, higher household income, and identifying as pansexual or queer were inversely correlated factors.</p><p><strong>Discussion and conclusions: </strong>Sociodemographic factors associated with problematic gambling likely have complex underlying relationships that merit further research. Gambling formats with faster reward responses presented the highest prevalence of problematic gambling. Further analysis by identity subgroups, and research on their experiences with gambling harm, health and social services, and discrimination could provide insight into the needs and challenges of this population.</p>","PeriodicalId":93857,"journal":{"name":"Addictive behaviors","volume":"163 ","pages":"108257"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addictive behaviors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.addbeh.2025.108257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background and aims: LGBTQIA2S + populations are believed to be at higher risk of problem gambling due to their elevated rates of mental disorders and substance abuse compared to heterosexual and cisgender populations. However, little is known about these populations regarding their gambling practices in the Canadian context.
Methods: We conducted an online survey among Canadian residents 18 years or older who self-identify as sexually and gender-diverse (i.e., LGBTQIA2S + ) and have gambled at least once in the preceding year (N = 1,519). We used descriptive analysis to portray the sample's gambling habits and a logistic regression model to identify potential factors associated with moderate-to-high-risk gambling.
Results: The prevalence of problematic gambling among our sample was 19.6%. This proportion did not vary according to sex or gender identity. Simultaneously, there was a negative relationship between age group and problematic gambling, and a positive relationship existed with gambling involvement. Logistic regression showed factors associated with higher odds of problematic gambling, including gambling frequency, gambling on slot machines, video lottery machines or poker, presenting other behavioral addictions, and poor mental health. Increasing age, identifying with White ethnicity, higher household income, and identifying as pansexual or queer were inversely correlated factors.
Discussion and conclusions: Sociodemographic factors associated with problematic gambling likely have complex underlying relationships that merit further research. Gambling formats with faster reward responses presented the highest prevalence of problematic gambling. Further analysis by identity subgroups, and research on their experiences with gambling harm, health and social services, and discrimination could provide insight into the needs and challenges of this population.